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A Deep-Learning-Enabled Electrocardiogram for Detecting Pulmonary Hypertension
Sponsor: National Defense Medical Center, Taiwan
Summary
This study aims to validate the use of an artificial intelligence-enabled electrocardiogram (AI-ECG) to screen for elevated PAP. We hypothesize that the AI-ECG model can early identify patients with pulmonary hypertension in high-risk patients, prompting further evaluation through echocardiography, potentially resulting in improving cardiovascular outcomes.
Official title: A Deep-Learning-Enabled Electrocardiogram for Detecting Pulmonary Hypertension: A Randomized Controlled Trial
Key Details
Gender
All
Age Range
50 Years - 85 Years
Study Type
INTERVENTIONAL
Enrollment
8666
Start Date
2026-02
Completion Date
2026-06-15
Last Updated
2026-02-24
Healthy Volunteers
No
Conditions
Interventions
AI-ECG Guidance
Participants undergo screening using the AI-ECG system. Those identified as high-risk for pulmonary hypertension receive echocardiography to confirm the diagnosis and guide subsequent management.
Locations (1)
National Defense Medical Center
Taipei, Taiwan